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Time-varying contributions by the corporate bond and CDS markets to credit risk price discovery

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  • Dötz, Niko

Abstract

This paper looks at the dynamic price relationship between spreads in the corporate bond market and credit default swaps (CDS). It picks up where Blanco et al (2005) leave off but is focused on European credit markets. The study is based on companies listed in the iTraxx CDS index and thus on new data on a more liquid CDS market. Unlike previous studies, which look at price formation in a time-invariant context, the contributions of both markets to price discovery are analysed in a timevariant context. We devote particular attention to the question of whether such information input is stable in times of crisis and find that, although the CDS market slightly dominates the price discovery process, its contribution fell visibly during the turbulence on the credit markets in early 2005 in favour of that of the bond market.

Suggested Citation

  • Dötz, Niko, 2007. "Time-varying contributions by the corporate bond and CDS markets to credit risk price discovery," Discussion Paper Series 2: Banking and Financial Studies 2007,08, Deutsche Bundesbank.
    • Handle: RePEc:zbw:bubdp2:5904
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    References listed on IDEAS

    as
    1. Norden, Lars & Weber, Martin, 2004. "The comovement of credit default swap, bond and stock markets: An empirical analysis," CFS Working Paper Series 2004/20, Center for Financial Studies (CFS).
    2. Hashem Pesaran & Davide Pettenuzzo & Allan Timmermann, 2007. "Learning, Structural Instability, and Present Value Calculations," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 253-288.
    3. Upper, Christian & Werner, Thomas, 2002. "Tail Wags Dog? Time-Varying Information Shares in the Bund Market," Discussion Paper Series 1: Economic Studies 2002,24, Deutsche Bundesbank.
    4. Haibin Zhu, 2004. "An empirical comparison of credit spreads between the bond market and the credit default swap market," BIS Working Papers 160, Bank for International Settlements.
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    Cited by:

    1. Dimpfl, Thomas & Peter, Franziska J., 2012. "Using transfer entropy to measure information flows between financial markets," SFB 649 Discussion Papers 2012-051, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    2. Dimpfl Thomas & Peter Franziska Julia, 2013. "Using transfer entropy to measure information flows between financial markets," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(1), pages 85-102, February.
    3. Eisenkopf, Gerald & Hessami, Zohal & Fischbacher, Urs & Ursprung, Heinrich W., 2015. "Academic performance and single-sex schooling: Evidence from a natural experiment in Switzerland," Journal of Economic Behavior & Organization, Elsevier, vol. 115(C), pages 123-143.
    4. repec:hum:wpaper:sfb649dp2012-051 is not listed on IDEAS
    5. Alter, Adrian & Schüler, Yves S., 2012. "Credit spread interdependencies of European states and banks during the financial crisis," Journal of Banking & Finance, Elsevier, vol. 36(12), pages 3444-3468.
    6. Apergis, Nicholas & Danuletiu, Dan & Xu, Bing, 2022. "CDS spreads and COVID-19 pandemic," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).

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    More about this item

    Keywords

    price discovery; credit risk; corporate bonds; credit derivatives; Kalman filter;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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